One key brain structure involved in generating explanations is thought to be the hippocampus, which plays a central role in episodic and declarative memory [1]}, [2]}. Indeed, it has been proposed that the primary role of episodic memory is to store memories of specific events so that they can be communicated to others [3]}, [4]}. It therefore seems plausible that the addition of a hippocampal-like learning system may help Deep RL agents to generate task-level explanations. Several recent studies have explored the effect of adding a hippocampal learning system to Deep RL algorithms [5]}, [6]}, [7]}, [8]}, [9]}. However, these studies have focused on the improved data efficiency that the hippocampal learning system provides [10]} rather than its declarative properties. The question therefore arises; can the inclusion of a hippocampal learning system in Deep RL also provide a mechanism for generating selective task-level explanations?
